RH-Map: Online Map Construction Framework of Dynamic Object Removal Based on 3D Region-Wise Hash Map Structure-Reference-Cited by-同舟云学术

RH-Map: Online Map Construction Framework of Dynamic Object Removal Based on 3D Region-Wise Hash Map Structure

Published:2024-02 Issue:2 Volume:9 Page:1492-1499
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

Yan Zihong¹^ORCID,Wu Xiaoyi²^ORCID,Jian Zhuozhu¹^ORCID,Lan Bin³,Wang Xueqian¹^ORCID

Affiliation:

1. Center for Artificial Intelligence and Robotics, Shenzhen International Graduate School, Tsinghua University, Shenzhen, China

2. School of Mechanical Engineering and Automation, Harbin Institute of Technology, Shenzhen, China

3. Jianghuai Advance Technology Center, Hefei, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Computer Vision and Pattern Recognition,Mechanical Engineering,Human-Computer Interaction,Biomedical Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/7083369/10360389/10356720.pdf?arnumber=10356720

Reference30 articles.

1. LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping

2. FAST-LIO2: Fast Direct LiDAR-Inertial Odometry

3. Robust Method for Removing Dynamic Objects from Point Clouds

4. SuMa++: Efficient LiDAR-based Semantic SLAM

5. RF-LIO: Removal-First Tightly-coupled Lidar Inertial Odometry in High Dynamic Environments

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